Evidence map›Paper›PMID 31853755›Full record

ArticleClinical pharmacokinetics2020

A Physiologically Based Pharmacokinetic Model of Voriconazole Integrating Time-Dependent Inhibition of CYP3A4, Genetic Polymorphisms of CYP2C19 and Predictions of Drug-Drug Interactions.

Xia Li, Sebastian Frechen, Daniel Moj, Thorsten Lehr, Max Taubert, Chih-Hsuan Hsin, Gerd Mikus, Pertti J Neuvonen, Klaus T Olkkola, Teijo I Saari and 1 more

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In one paragraph

Article in Clinical pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 60 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Xia LiDepartment I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.ORCID http://orcid.org/0000-0001-7765-0333
Sebastian FrechenClinical Pharmacometrics, Bayer AG, Leverkusen, Germany.
Daniel MojDepartment of Pharmacy, Clinical Pharmacy, Saarland University, Saarbrücken, Germany.
Thorsten LehrDepartment of Pharmacy, Clinical Pharmacy, Saarland University, Saarbrücken, Germany.
Max TaubertDepartment I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.
Chih-Hsuan HsinDepartment I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.
Gerd MikusDepartment of Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, Heidelberg, Germany.
Pertti J NeuvonenDepartment of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Klaus T OlkkolaDepartment of Anaesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Teijo I SaariDepartment of Anaesthesiology and Intensive Care, University of Turku and Turku University Hospital Turku, Turku, Finland.
Uwe FuhrDepartment I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany. uwe.fuhr@uk-koeln.de.ORCID http://orcid.org/0000-0001-7087-5871
University of Cologne · DESaarland University · DEUniversity of Helsinki · FIBayer (Germany) · DEHeidelberg University · DEUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVoriconazole, a first-line antifungal drug, exhibits nonlinear pharmacokinetics (PK), together with large interindividual variability but a narrow therapeutic range, and markedly inhibits cytochrome P450 (CYP) 3A4 in vivo. This causes difficulties in selecting appropriate dosing regimens of voriconazole and coadministered CYP3A4 substrates.

objectiveThis study aimed to investigate the metabolism of voriconazole in detail to better understand dose- and time-dependent alterations in the PK of the drug, to provide the model basis for safe and effective use according to CYP2C19 genotype, and to assess the potential of voriconazole to cause drug-drug interactions (DDIs) with CYP3A4 substrates in more detail.

methodsIn vitro assays were carried out to explore time-dependent inhibition (TDI) of CYP3A4 by voriconazole. These results were combined with 93 published concentration-time datasets of voriconazole from clinical trials in healthy volunteers to develop a whole-body physiologically based PK (PBPK) model in PK-Sim

resultsThe result of the half maximal inhibitory concentration (IC

conclusionsBoth the in vitro assay and model-based simulations support TDI of CYP3A4 by voriconazole as a pivotal characteristic of this drug's PK. The PBPK model developed here could support individual dose adjustment of voriconazole according to genetic polymorphisms of CYP2C19, and DDI risk management. The applicability of modeling results for patients remains to be confirmed in future studies.

Indexed as

Cytochrome P-450 CYP2C19Cytochrome P-450 CYP3ADrug InteractionsHumansPolymorphism, GeneticVoriconazoleCYP2C19 protein, humanCYP3A4 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP3AVoriconazole

Identifiers

PMID31853755
OpenAlexW2995490648

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.